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检索条件"任意字段=21st Conference on System Modeling and Optimization"

共 3611 条记录，以下是131-140 订阅

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19th International conference on Future Networks and Communications, FNC 2024 / 21st International conference on Mobile systems and Pervasive Computing, MobiSPC 2024 / 14th International conference on Sustainable Energy Information Technology, SEIT 2024

19th International Conference on Future Networks and Communi...

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19th International conference on Future Networks and Communications, FNC 2024 / 21st International conference on Mobile systems and Pervasive Computing, MobiSPC 2024 / 14th International conference on Sustainable Energy Information Technology, SEIT 2024

The proceedings contain 80 papers. The topics discussed include: randomized protocols for resilient peer-to-peer networks;evaluating the performance of 5G NR in indoor environments: an experimental study;an approach towards reducing training time of the input doubling method via clustering for middle-sized data analysis;analysis of legislative framework governing biometric data;designing a testbed for privacy-preserving voice-based social networks;classical machine learning and large models for text-based emotion recognition;one hop routing optimization approach using machine learning;toward an enhanced stock market forecasting with machine learning and deep learning models;smart agriculture system based on IoT reference architecture and service choreography;and privacy-preserving crime reporting and rewarding in the presence of active insider and outsider adversaries.

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A generic framework for simulation-based optimization using high-level architecture 21

A generic framework for simulation-based optimization using ...

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21st International conference on modeling and Applied Simulation, MAS 2022

作者： Ali, Mostafa Mohamed, Emad Wu, Lingzi AbouRizk, Simaan University of Alberta Department of Civil & Environmental Engineering 7th Floor Donadeo Innovation Centre for Engineering 9211 116 Street NW EdmontonABT6G 1H9 Canada

ISBN: (纸本)9788885741775

Simulation optimization has been the focus of numerous studies in the area of operations research, with many studies integrating optimization algorithms with simulation models to improve decision-making. Although useful, these studies target particular applications and are built for specific problems. As such, their interoperability and reusability remain limited, with the incorporation of new optimization components or simulation models requiring a complete redesign of the entire simulation-optimization system. To enhance system flexibility, a novel, generic framework that can be easily applied to any simulation model and can accompany any optimization algorithm is proposed. Using high-level architecture (HLA), the proposed framework is able to provide a communication channel between a simulation model and an optimization algorithm, facilitating the reuse of system components for different problems. A case study was used to demonstrate the functionality of the proposed framework. Flexibility of the system was demonstrated by combining a simulation model (discrete-event simulation) with an optimization algorithm (genetic algorithm). © 2022 The Authors.

关键词： Genetic algorithms

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Design of Resonant Converter with Genetic- Algorithm optimization 21

Design of Resonant Converter with Genetic- Algorithm Optimiz...

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21st International system-on-Chip Design conference, ISOCC 2024

作者： Kaneiso, Rintaro Komanaka, Ayano Xie, Yinchen Komiyama, Yutaro Konishi, Akihiro Nguyen, Kien Sekiya, Hiroo Chiba University Faculty of Engineering Department of Information Engineering Chiba Japan

ISBN: (纸本)9798350377088

This paper presents the genetic algorithm-based optimal design method of the resonant converters. The developed software finds an optimal parameter set of the resonant converter for achieving the rated output power with the highest power-conversion efficiency. The experimental results showed the validity and effectiveness of the proposed design strategy. © 2024 IEEE.

关键词： Resonant converters

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Energy optimization of Distributed Video Processing system in Dynamic Environment 21

Energy Optimization of Distributed Video Processing System i...

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21st IEEE Consumer Communications and Networking conference, CCNC 2024

作者： Lou, Yang Shimonishi, Hideyuki Murata, Masayuki Techasarntikul, Nattaon Graduate School of Information Science and Technology Osaka University Osaka Japan National Yang Ming Chiao Tung University Department of Computer Science Hsinchu Taiwan

ISBN: (纸本)9798350304572

To create a future society based on cyber-physical systems, we need real-time digital twins made with cameras and sensors. The challenge is making this energy-efficient. A model in [1] suggests dividing video analysis tasks among terminals, edge servers, and cloud servers to minimize power consumption. This paper addresses energy optimization in dynamic environments with a two-level approach: detecting and categorizing environmental changes (LEC and SEC) and using a two-level adaptive evolutionary algorithm (TAEA) to make corresponding adjustments. A case study with a differential evolution algorithm demonstrates its effectiveness in minimizing energy costs and improving processing accuracy and latency violations. © 2024 IEEE.

关键词： differential evolution dynamic system energy efficiency genetic algorithm optimization Video analysis

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Dynamic transport-lot assignment for the hot-storage area 36

Dynamic transport-lot assignment for the hot-storage area

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36th European modeling and Simulation Symposium, EMSS 2024, Held at the 21st International Multidisciplinary modeling and Simulation Multiconference, I3M 2024

作者： Leitner, Sebastian Fleck, Philipp Wagner, stefan Affenzeller, Michael Heuristic and Evolutionary Algorithms Laboratory University of Applied Sciences Upper Austria Austria Josef Ressel Center for Adaptive Optimization in Dynamic Environments University of Applied Sciences Upper Austria Austria

ISBN: (纸本)9791281988026

In this paper, we present a novel transport-lot optimization problem at the boundary between the continuous casters and the hot-rolling in steel production. The problem and the corresponding solver are part of a system that jointly optimizes the cranes in the hot-storage area and the vehicles feeding the rolling mill. The goal is to group steel slabs into transport lots and assign transporters, handover locations, and due dates. We develop heuristics to iteratively build the full solution by choosing from several promising choices that satisfy a wide variety of safety and performance requirements. We evaluate the performance of different heuristics to search the tree of possible choices on a diverse collection of real-world problem instances. We find that the pilot method significantly outperforms the five other tree-search heuristics we tried. © 2024 The Authors.

关键词： Heuristic methods

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Modelling and Analysis of FPGA-based MPSoC system with Multiple DNN Accelerators 21

Modelling and Analysis of FPGA-based MPSoC System with Multi...

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21st IEEE Interregional NEWCAS conference (NEWCAS)

作者： Gao, Cong Zhu, Xuqi Saha, Sangeet McDonald-Maier, Klaus D. Zhai, Xiaojun Univ Essex Colchester England

ISBN: (纸本)9798350300246

Deep Neural Networks (DNNs) have been widely applied in many fields for decades, and a standard method for deploying them on embedded systems involves using accelerators. However, due to the resource constraints of embedded systems, improving energy and computing efficiency becomes one of the research challenges in this domain. DNN model optimization and NAS (Neural Architecture Searching) are commonly used to strengthen the DNN model running efficiency on an embedded system. However, because the system's runtime workloads are varied in practical situations, to further improve the computing efficiency of the system at runtime, real-time hardware and software design space exploration is required to ensure the system is running at the optimal time state at runtime. This paper presents a comprehensive modelling and analysis approach for the performance data (e.g., latency, energy consumption, accuracy, etc.) collected from an AMD-Xilinx heterogeneous MPSoC platform equipped with multiple DNN accelerators. The results demonstrate that the relationships between accuracy loss, hardware performance, and model size are significantly correlated. Furthermore, an appropriate hardware and software configuration could be obtained by giving constraints at runtime.

关键词： FPGA Heterogeneous embedded systems MPSoC Deep Neural networks Edge computing Energy efficiency

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optimization of Complex systems in Photonics by Multi-agent Robotic Control 21st

Optimization of Complex Systems in Photonics by Multi-age...

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21st International conference on Practical Applications of Agents and Multi-Agent systems, PAAMS 2023

作者： Pouvreau, Quentin Georgé, Jean-Pierre Bernon, Carole Maignan, Sébastien IRIT Université de Toulouse CNRS Toulouse INP UT3 Toulouse France ISP System Vic-en-Bigorre France

ISBN: (纸本)9783031376153

The optimization of complex industrial systems represents a class of difficult problems, due to their embodiment in the physical world, and whose search spaces are disrupted, non-linear and potentially vast. Their parametrization relies on the combination of many variables, each change generally impacting the whole system. Mathematical approaches are limited by the fact that the models are too coarse or non-existent, and by the imprecision of the measurements and the machining of components of such systems. The action cost of the system calls into question population-based heuristics and swarm intelligence where each individual must be tested. We propose a multi-agent approach allowing a global/black-box modeling of the system in terms of input variables and objectives, as well as an agnostic and continuous adaptive optimization, based on sensor feedbacks from the running system. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Multiobjective optimization

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Antagonistic Parallel Elastic Actuator Using Preloaded Composite Spiral Torsion Springs 21

Antagonistic Parallel Elastic Actuator Using Preloaded Compo...

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21st International conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)

作者： Sindhuseka, Chatrin Chaichaowarat, Ronnapee Chulalongkorn Univ Int Sch Engn Bangkok Thailand

ISBN: (纸本)9798350381566;9798350381559

Parallel elastic actuators (PEA) are widely applied for robotic applications with asymmetric load requirement. The elastic components are included in the systems aiming to reduce the actuation peak torque required from the electric motors. However, higher torque may be required during the opposite motion. The fused deposition modeling technique allows fabrication of 3D printed composite spiral torsion springs for compact modular PEAs. The antagonistic design enables using the springs to support moment in bidirectional. Preloading is substantially required to ensure the winding deformation of both springs. The design of spring stiffness and equilibrium is the major challenge to minimize the actuation peak torque and power consumption. In this paper, the behavior of the parallel elastic actuator with preloaded springs while subjected to the pure stiffness load is observed in three cases: the PEA's spring has lower, higher, and the same stiffness as the load. The position and current of the brushless DC motor driven by the ODrive Pro motor controller are recorded. The experimental setup allows characterization of the spring component and the PEA using different number of spring stacks. The results of this study can be used as a reference for further designing of antagonistic PEAs with preload for asymmetric load support.

关键词： elastic actuator hardware implementation dynamic system identification

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21st International conference on modeling and Applied Simulation, MAS 2022

21st International Conference on Modeling and Applied Simula...

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21st International conference on modeling and Applied Simulation, MAS 2022

ISBN: (纸本)9788885741775

The proceedings contain 27 papers. The topics discussed include: applying conformance checking on virtual laboratory experiments;assortment optimization in sheet metal procurement with k-means;timing analysis of the sanitization process due to the COVID-19 pandemic in an elementary school using simulation;a generic framework for simulation-based optimization using high-level architecture;a conceptual training simulator for the assembly of electric vehicle batteries in virtual reality;modelling supply chain coordination using multidimensional auctions;modelling shifting trends over time via topic analysis of text documents;discrete-event simulation of construction safety inspections;simulation study on the influence of design on the performance of dynamic hybrid pallet warehouses;and design and analysis of alternatives for the supply of components within the production facilities of new customers of a company with a full-service provider model.

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Improved PID Controller for an Electro-Hydraulic system Using Particle Swarm optimization 21

Improved PID Controller for an Electro-Hydraulic System Usin...

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21st IEEE student conference on Research and Development, SCOReD 2023

作者： Hanaffi, Mohd Saidi Ghani, Muhamad Fadli Jaafar, Hazriq Izzuan Soon, Chong Chee Universiti Kuala Lumpur Perak Malaysia Fakulti Kejuruteraan Elektrik Melaka Malaysia Penang Branch Campus Tunku Abdul Rahman College Department of Engineering and Built Environment Pulau Pinang Malaysia

ISBN: (纸本)9798350318821

Recent computerized and control technology makes it less difficult to design a controller for an electrohydraulic actuator (EHA). This paper aims to improve the controllers using an optimization algorithm. A pump, control valve, and hydraulic actuator comprise a conventional EHA system. Leakage, friction, oil temperature fluctuations, and external disturbances make EHA systems nonlinear, and this has an effect on the performance of the EHA system, especially on the trajectory tracking of the piston. An EHA mathematical model to be developed and simulated with an optimized proportional-derivative-integral (PID) using the particle swarm optimization algorithm (PSO) is proposed in this study. The proposed controller has been compared with the optimized proportional (P) and proportional-derivative (PD) controllers. Based on the results, the improved PID controller showed a significant improvement in trajectory tracking for the EHA system. © 2023 IEEE.

关键词： Three term control systems

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